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    Greenbuild 2023 in Washington, DC

    Curated Track

    (H12) Decarbonizing Existing Buildings at Scale - From Policies to AI/ML

    Thursday, September 28, 2023
    2:00pm – 3:00pm US EDT
    Location: Room 207A
    Earn 1 CE Credit(s)
    Live Streamed Session Session Recorded GBCI Credit AIA LU|HSW
    Decarbonizing the buildings sector by 2050 is critical to comply with the emission cuts as per the Paris Agreement during COP21. However the latest UNEP (United Nations Environmental Program) 2022 Buildings Global Status report shows that the building sector is NOT making deep systemic changes needed to be on the path to meet the 2050 decarbonization goal. Building Operations constitute about 30% of the total global emissions. Operational emissions in 2021 rebounded after the pandemic to 2% more than 2019 figures which were then an all time high.

    The proposed session will be a moderated panel discussion including a group of well esteemed industry and subject matter experts. The structure has been created to discuss decarbonization from a design and policy level (Stantec) to Portfolio level and real life challenges (JLL) and looking forward to Machine Learning and Generative AI how they can impact decarbonization at scale (Autocase). The panel discussion is planned to be very interactive with a 15 min Q/A session in the end.

    The session will guide the audience to the following:

    1: The present state of decarbonization of the existing building stock.
    2: Opportunities and challenges while implementing emissions inventories and portfolio decarbonization pathways focusing on Scope 3.
    3: State/City/Municipality level policies and codes that cater to existing buildings stock.
    4: Decarbonization paths for existing building retrofits - looking at both operational and embodied emissions.
    5: From a portfolio level at scale, underline some programs in place, success/horror stories.
    6: Tools and softwares available supporting decarbonization pathways at scale.
    7: With the current trends in generative AI and Machine Learning, how they can augment the decarbonization process and at what levels.

    Learning Objectives:

    • Understand the importance of decarbonizing the existing commercial building stock and real life challenges that can impact the process.
    • Understand what state/city/municipality level decarbonizing policies and codes exist today in US and beyond catering to existing buildings. For example - LL97, Washington state Clean Buildings Act etc.
    • Understand decarbonization pathways and standards that are currently in place and implemented at scale for portfolios.
    • How Machine Learning and Generative AI can augment decarbonization at scale. Look into strategies and tools that use these concepts for developing actionable decarbonization strategies.